Research on mass gathering events is critical for ensuring public security and maintaining social order.However,most of the existing works focus on crowd behavior analysis areas such as anomaly detection and crowd cou...Research on mass gathering events is critical for ensuring public security and maintaining social order.However,most of the existing works focus on crowd behavior analysis areas such as anomaly detection and crowd counting,and there is a relative lack of research on mass gathering behaviors.We believe real-time detection and monitoring of mass gathering behaviors are essential formigrating potential security risks and emergencies.Therefore,it is imperative to develop a method capable of accurately identifying and localizing mass gatherings before disasters occur,enabling prompt and effective responses.To address this problem,we propose an innovative Event-Driven Attention Network(EDAN),which achieves image-text matching in the scenario of mass gathering events with good results for the first time.Traditional image-text retrieval methods based on global alignment are difficult to capture the local details within complex scenes,limiting retrieval accuracy.While local alignment-based methods aremore effective at extracting detailed features,they frequently process raw textual features directly,which often contain ambiguities and redundant information that can diminish retrieval efficiency and degrade model performance.To overcome these challenges,EDAN introduces an Event-Driven AttentionModule that adaptively focuses attention on image regions or textual words relevant to the event type.By calculating the semantic distance between event labels and textual content,this module effectively significantly reduces computational complexity and enhances retrieval efficiency.To validate the effectiveness of EDAN,we construct a dedicated multimodal dataset tailored for the analysis of mass gathering events,providing a reliable foundation for subsequent studies.We conduct comparative experiments with other methods on our dataset,the experimental results demonstrate the effectiveness of EDAN.In the image-to-text retrieval task,EDAN achieved the best performance on the R@5 metric,while in the text-to-image retrieval task,it showed superior results on both R@10 and R@5 metrics.Additionally,EDAN excelled in the overall Rsummetric,achieving the best performance.Finally,ablation studies further verified the effectiveness of event-driven attention module.展开更多
This paper aims to improve the performance of a class of distributed parameter systems for the optimal switching of actuators and controllers based on event-driven control. It is assumed that in the available multiple...This paper aims to improve the performance of a class of distributed parameter systems for the optimal switching of actuators and controllers based on event-driven control. It is assumed that in the available multiple actuators, only one actuator can receive the control signal and be activated over an unfixed time interval, and the other actuators keep dormant. After incorporating a state observer into the event generator, the event-driven control loop and the minimum inter-event time are ultimately bounded. Based on the event-driven state feedback control, the time intervals of unfixed length can be obtained. The optimal switching policy is based on finite horizon linear quadratic optimal control at the beginning of each time subinterval. A simulation example demonstrate the effectiveness of the proposed policy.展开更多
In this paper, the testing technology of event-driven software is focused. It is first analyzed the difference between event-driven software and the traditional procedure-oriented software, and based on the above anal...In this paper, the testing technology of event-driven software is focused. It is first analyzed the difference between event-driven software and the traditional procedure-oriented software, and based on the above analysis, the mechanism of event-driven and the effect of introduction of event-driven mechanism on software testing are unveiled. Then based on the characteristic of the event-driven software, the traditional software testing method is improved, and testing policy of event based test is presented in this paper.Moreover the event coverage criteria are defined and given here. At the same time the event executing rule are further uncovered, such as ordinal event, non-ordinal event, predecessor event and concurrent event etc., and also the methods of testing according to event executing rule are studied.展开更多
Hefei Light Source(HLS)-II is a vacuum ultraviole(VUV) synchrotron light source. A major upgrade of the light source was finished at the end of 2014. The timing system was rebuilt using compact peripheral component in...Hefei Light Source(HLS)-II is a vacuum ultraviole(VUV) synchrotron light source. A major upgrade of the light source was finished at the end of 2014. The timing system was rebuilt using compact peripheral component interconnect(cPCI) event-driven hardware to meet synchronization requirements of the machine. In the new system, the c PCI event-driven products manufactured by the micro-research finland(MRF) Oy are employed to achieve about 100 output signals with different interfaces. Device supports and drivers developed for common Experimental Physics and Industrial Control System(EPICS) records are used to access the registers on the timing modules. Five c PCI-bus input/output controllers(IOCs) distributed in different areas of the light source host timing modules for various subsystems. The delay resolution of this system is 9.8 ns for most channels and 9 ps for the channels used for triggering the electron gun and the injection kickers. The measured rms jitter of the output signal is less than 27 ps. Using the bucket chooser, this system enables the HLS-II to fill the storage ring with any designated bunch pattern. Benefitting from this upgrade, brightness and performance of the light source are significantly improved.展开更多
Type 2 diabetes(T2D)is an insidious disease associated with neural and vascular complications,acceleration of cardiovascular disease,changes in heart function,and premature death.In the newly released article of the J...Type 2 diabetes(T2D)is an insidious disease associated with neural and vascular complications,acceleration of cardiovascular disease,changes in heart function,and premature death.In the newly released article of the Journal of Sport and Health Science,Liang et al.1 describe results from the UK Biobank data showing the benefits of moderate-to-vigorous intensity physical activity(MVPA)on reducing the risks for vascular events in 11,474 adults with T2D and prediabetes.展开更多
With the advances of electronic information technology and computer network, especially the embedded technology, smart home is no more just a vision but being practical. The interoperability of heterogeneous devices a...With the advances of electronic information technology and computer network, especially the embedded technology, smart home is no more just a vision but being practical. The interoperability of heterogeneous devices and flexibility of devices＇ usage are two key problems that challenge the implementation of smart home. To deal with these two issues, this paper proposes an event-driven service oriented architecture using device profile for web services （DPWS）. DPWS inherits the advantages of the traditional web services in achieving interoperability without dependence on platform, while improving service discovery and security as well as being optimized for deploying on resource constrained devices. By providing a visual interface for describing a service workflow （SW）, the user can easily customize the actions of devices by services composition. Devices automatically cooperate without user＇s intervention to complete required business logic. This is achieved by fully exploiting the eventing capabilities on DPWS enabled home devices. Finally, a home theater scenario is given to illustrate the event driven mechanism for the SW in the proposed smart home framework.展开更多
Current orchestration and choreography process engines only serve with dedicate process languages.To solve these problems,an Event-driven Process Execution Model(EPEM) was developed.Formalization and mapping principle...Current orchestration and choreography process engines only serve with dedicate process languages.To solve these problems,an Event-driven Process Execution Model(EPEM) was developed.Formalization and mapping principles of the model were presented to guarantee the correctness and efficiency for process transformation.As a case study,the EPEM descriptions of Web Services Business Process Execution Language(WS-BPEL) were represented and a Process Virtual Machine(PVM)-OncePVM was implemented in compliance with the EPEM.展开更多
Although air pollutant emissions have sharply reduced in recent years,the occurrence of PM_(2.5) pollution events remains an intractable environmental problem in Beijing,and regional transport is the key influence fac...Although air pollutant emissions have sharply reduced in recent years,the occurrence of PM_(2.5) pollution events remains an intractable environmental problem in Beijing,and regional transport is the key influence factor.However,it has been difficult to identify regional transport characteristics and the main contributors to pollution events in recent years.In this study,the relative contribution of regional transport was quantified(61.3%)in PM_(2.5) pollution events during 2018-2021 by the Community Multiscale Air Quality model embedded with the Integrated Source Apportionment Model(CMAQ-ISAM).The four regions with the largest fractional contributions to Beijing for all events were Shandong(7.7%),South Hebei(7.3%),Baoding(6.2%),and Langfang(5.8%).Pollution events were classified into the following types based on regional transport directions:local,southwest(SW),southeast(SE),south-mixed(SM),and others.Based on the transport distance,the SW,SE,and SM types can be subdivided into SW-short,SW-long,SE-short,SE-long,SM-short,SM-long distance from southwest,SM-long distance from southeast,and SM-long distance from southwest and southeast.SE-long was regarded as the most important type,with the highest relative frequency(20%).The transport directions were related to the southwest wind at 925 hPa and southeast wind at 1000 hPa in the south of the Beijing–Tianjin–Hebei(BTH)region,and the distance was mainly controlled by wind strength.The wind-field difference can be attributed to the low-pressure and high-pressure systems that control the BTH region.The results suggest that regional joint pollution control should be optimized based on the transport type.展开更多
BACKGROUND Minimally invasive esophagectomy(MIE)is a widely accepted treatment for esophageal cancer,yet it is associated with a significant risk of surgical adverse events(SAEs),which can compromise patient recovery ...BACKGROUND Minimally invasive esophagectomy(MIE)is a widely accepted treatment for esophageal cancer,yet it is associated with a significant risk of surgical adverse events(SAEs),which can compromise patient recovery and long-term survival.Accurate preoperative identification of high-risk patients is critical for improving outcomes.AIM To establish and validate a risk prediction and stratification model for the risk of SAEs in patients with MIE.METHODS This retrospective study included 747 patients who underwent MIE at two centers from January 2019 to February 2024.Patients were separated into a train set(n=549)and a validation set(n=198).After screening by least absolute shrinkage and selection operator regression,multivariate logistic regression analyzed clinical and intraoperative variables to identify independent risk factors for SAEs.A risk stratification model was constructed and validated to predict the probability of SAEs.RESULTS SAEs occurred in 10.2%of patients in train set and 13.6%in the validation set.Patients with SAE had significantly higher complication rate and a longer hospital stay after surgery.The key independent risk factors identified included chronic obstructive pulmonary disease,a history of alcohol consumption,low forced expiratory volume in the first second,and low albumin levels.The stratification model has excellent prediction accuracy,with an area under the curve of 0.889 for the training set and an area under the curve of 0.793 for the validation set.CONCLUSION The developed risk stratification model effectively predicts the risk of SAEs in patients undergoing MIE,facilitating targeted preoperative interventions and improving perioperative management.展开更多
This study examines the “V + Dào” construction as a state change event through the lens of the Event Integration Hypothesis. It focuses on how these constructions represent state changes, exploring distinctions...This study examines the “V + Dào” construction as a state change event through the lens of the Event Integration Hypothesis. It focuses on how these constructions represent state changes, exploring distinctions between “change” and “stasis”. Using a corpus-based approach, the analysis covers the semantic and syntactic features of “V + Dào” constructions and their event integration patterns. The findings highlight the distribution of agency, animacy, and support relations in state change events, emphasizing the complex interaction of internal and external event integrations and their correlation with the conceptual primitives of change and transition. This study offers insights into the lexicalization and grammaticalization processes of the “V + Dào” construction, and potentially the broader verb-complement constructions in Mandarin.展开更多
The World Wide Web provides a wealth of information about everything, including contemporary audio and visual art events, which are discussed on media outlets, blogs, and specialized websites alike. This information m...The World Wide Web provides a wealth of information about everything, including contemporary audio and visual art events, which are discussed on media outlets, blogs, and specialized websites alike. This information may become a robust source of real-world data, which may form the basis of an objective data-driven analysis. In this study, a methodology for collecting information about audio and visual art events in an automated manner from a large array of websites is presented in detail. This process uses cutting edge Semantic Web, Web Search and Generative AI technologies to convert website documents into a collection of structured data. The value of the methodology is demonstrated by creating a large dataset concerning audiovisual events in Greece. The collected information includes event characteristics, estimated metrics based on their text descriptions, outreach metrics based on the media that reported them, and a multi-layered classification of these events based on their type, subjects and methods used. This dataset is openly provided to the general and academic public through a Web application. Moreover, each event’s outreach is evaluated using these quantitative metrics, the results are analyzed with an emphasis on classification popularity and useful conclusions are drawn concerning the importance of artistic subjects, methods, and media.展开更多
1 Introduction Sound event detection(SED)aims to identify and locate specific sound event categories and their corresponding timestamps within continuous audio streams.To overcome the limitations posed by the scarcity...1 Introduction Sound event detection(SED)aims to identify and locate specific sound event categories and their corresponding timestamps within continuous audio streams.To overcome the limitations posed by the scarcity of strongly labeled training data,researchers have increasingly turned to semi-supervised learning(SSL)[1],which leverages unlabeled data to augment training and improve detection performance.Among many SSL methods[2-4].展开更多
In the summer of 2024, following a strong El Ni?o event in the preceding winter, the tropical Indian Ocean and tropical North Atlantic recorded their highest SSTs since 1961, along with a significant westward shift an...In the summer of 2024, following a strong El Ni?o event in the preceding winter, the tropical Indian Ocean and tropical North Atlantic recorded their highest SSTs since 1961, along with a significant westward shift and intensification of the western Pacific subtropical high(WPSH). Under these conditions, China experienced its hottest summer since 1961,and was hit by a series of high-impact extreme weather and climate events. From 9 June to 2 July, southern China experienced an unprecedented extreme precipitation event that exceeded the well-known 1998 summer precipitation event in both duration and impact scope, resulting in devastating floods in the Yangtze River basin. Subsequently, in early to midJuly, the Huanghe-Huaihe Basin suffered from a severe drought–flood abrupt alternation event, heavily affecting Henan and Shandong. Meanwhile, southern China underwent a widespread heatwave event lasting 74 days, ranking as the second most intense since 1961. From late July to the end of August, northern China faced unusually frequent heavy precipitation events, with cumulative precipitation reaching the second highest for the same period since 1961, causing floods in many rivers of northern China. This study provides a timely summary and assessment of the characteristics and impacts of these extreme events. It serves as a reference for climate change research, including mechanism analysis, numerical simulation,and climate event attribution, and also offers valuable insights for improving meteorological disaster prevention and mitigation strategies.展开更多
Objective:Despite established associations between certain medications and urticaria,the risk profiles of most pharmaceutical agents remain poorly characterized.This investigation aimed to identify risk factors for me...Objective:Despite established associations between certain medications and urticaria,the risk profiles of most pharmaceutical agents remain poorly characterized.This investigation aimed to identify risk factors for medication-induced urticaria through comprehensive analysis of the FDA Adverse Event Reporting System(FAERS)database.Methods:We employed reporting odds ratios(ROR)to evaluate drug-urticaria associations using FAERS data spanning from Q12004 to Q32024.Analytical approaches included univariate screening,LASSO regression,and multivariate logistic regression to identify potential risk factors.Multiple comparison adjustments were implemented using the Bonferroni method.Results:The study identified 1807 pharmaceutical agents potentially associated with urticaria development.Univariate analysis categorized these agents into several therapeutic classes:antimicrobials(19/85),biologics(16/85),analgesics(8/85),dermatologicals(3/85),anti-rheumatic agents(4/85),hormonal preparations(3/85),antihypertensives(2/85),neuropsychiatric medications(2/85),uric acid-lowering drugs(2/85),multiple sclerosis therapies(2/85),and miscellaneous agents(17/85).Multivariate analysis identified three significant risk determinants:middle-aged individuals(36-53 years),female gender,and exposure to any of 82 specific medications.Conclusion:These evidence-based findings provide valuable insights for early clinical recognition of drug-induced urticaria and establish a foundation for subsequent mechanistic investigations into medication-related hypersensitivity reactions.展开更多
With the development of cyber-physical systems,system security faces more risks from cyber-attacks.In this work,we study the problem that an external attacker implements covert sensor and actuator attacks with resourc...With the development of cyber-physical systems,system security faces more risks from cyber-attacks.In this work,we study the problem that an external attacker implements covert sensor and actuator attacks with resource constraints(the total resource consumption of the attacks is not greater than a given initial resource of the attacker)to mislead a discrete event system under supervisory control to reach unsafe states.We consider that the attacker can implement two types of attacks:One by modifying the sensor readings observed by a supervisor and the other by enabling the actuator commands disabled by the supervisor.Each attack has its corresponding resource consumption and remains covert.To solve this problem,we first introduce a notion of combined-attackability to determine whether a closedloop system may reach an unsafe state after receiving attacks with resource constraints.We develop an algorithm to construct a corrupted supervisor under attacks,provide a verification method for combined-attackability in polynomial time based on a plant,a corrupted supervisor,and an attacker's initial resource,and propose a corresponding attack synthesis algorithm.The effectiveness of the proposed method is illustrated by an example.展开更多
BACKGROUND Patients with type 2 diabetes mellitus(T2DM)face a heightened risk of future cardiovascular events.It is therefore important to stratify these patients according to their future cardiovascular event risk to...BACKGROUND Patients with type 2 diabetes mellitus(T2DM)face a heightened risk of future cardiovascular events.It is therefore important to stratify these patients according to their future cardiovascular event risk to allow early intervention and improve prognosis.Recent proposals have indicated that nontraditional lipoprotein ratios may be superior predictors of cardiovascular events compared to traditional lipid parameters.However,further evidence is required for widespread clinical ap-plication.AIM To elucidate the associations of nontraditional lipoprotein ratios with future cardiovascular events in patients with T2DM.METHODS This study performed post-hoc analysis of data obtained during a clinical trial involving 10182 participants.To ascertain the correlations between nontraditional lipoprotein ratios and future cardiovascular events,including major adverse cardiovascular events(MACEs)and congestive heart failure(CHF).We employed univariable and multivariable-adjusted Cox proportional hazards regression models.Potential dose-response relationships and threshold values were explored by conducting restricted cubic spline analyses and two-piecewise linear regression models.Possible relevant interactions influencing independent relationships were tested using subgroup and interaction analyses.RESULTS After adjustment for confounding factors,all nontraditional lipoprotein ratios studied were strongly associated with MACE risk in patients with T2DM.In comparison with patients in the lowest quartile,the hazard ratios(95%confidence intervals)of those in the highest quartile were 1.50(1.29-1.73),1.51(1.30-1.74),1.50(1.29-1.73),and 1.30(1.12-1.50)for total cholesterol/high-density lipoprotein cholesterol(HDL-C),low-density lipoprotein cholesterol/HDL-C,non-HDL-C/HDL-C,and remnant cholesterol/HDL-C,respectively.Similar findings were noted for CHF.Dose-response relationships between nontraditional lipoprotein ratios and MACE were observed,with threshold values of 7.29,6.29,and 2.15 for total cholesterol/HDL-C,non-HDL-C/HDL-C,and remnant cholesterol/HDL-C,respectively.However,no notable dose-response relationships were detected between nontraditional lipoprotein ratios and CHF.CONCLUSION Elevated nontraditional lipoprotein ratios may independently predict the risk of MACE and CHF in patients with T2DM.展开更多
Objective:To investigate the differences in childhood trauma and life events between adolescents with depression and healthy controls,and to analyze the correlations between these factors and depressive symptoms.As su...Objective:To investigate the differences in childhood trauma and life events between adolescents with depression and healthy controls,and to analyze the correlations between these factors and depressive symptoms.As such,we aim to provide theoretical foundations for early identification and intervention.Methods:This cross-sectional study enrolled 90 hospitalized adolescents with depression(case group)and 91 healthy adolescents(control group).Childhood Trauma Questionnaire(CTQ),Adolescent Self-Rating Life Events Checklist(ASLEC),and Children’s Depression Inventory(CDI)were administered to assess trauma history,life event stressors,and depressive symptoms.Statistical analyses included independent samples t-tests,chi-square tests,and Pearson correlation analysis.Results:The case group demonstrated a significantly higher proportion of only-child families(28.9%).ASLEC and CDI scores were significantly elevated in the case group compared to the control group(P<0.05).In comparison,CTQ scores were lower in the case group(P=0.025).Positive correlations were identified between CDI scores and both CTQ(r=0.261)and ASLEC(r=0.218)in the case group.Conclusion:Child-hood trauma and recent life event stressors demonstrate significant associations with adolescent depressive symp-toms,potentially mediated through emotional dysregulation and negative cognitive bias.Implementation of early trauma screening protocols combined with stress management interventions(e.g.,cognitive behavioral therapy)and family system optimization strategies may effectively mitigate depression risk in this population.展开更多
Efficient flight path design for unmanned aerial vehicles(UAVs)in urban environmental event monitoring remains a critical challenge,particularly in prioritizing high-risk zones within complex urban landscapes.Current ...Efficient flight path design for unmanned aerial vehicles(UAVs)in urban environmental event monitoring remains a critical challenge,particularly in prioritizing high-risk zones within complex urban landscapes.Current UAV path planning methodologies often inadequately account for environmental risk factors and exhibit limitations in balancing global and local optimization efficiency.To address these gaps,this study proposes a hybrid path planning framework integrating an improved Ant Colony Optimization(ACO)algorithm with an Orthogonal Jump Point Search(OJPS)algorithm.Firstly,a two-dimensional grid model is constructed to simulate urban environments,with key monitoring nodes selected based on grid-specific environmental risk values.Subsequently,the improved ACO algorithm is used for global path planning,and the OJPS algorithm is integrated to optimize the local path.The improved ACO algorithm introduces the risk value of environmental events,which is used to direct the UAV to the area with higher risk.In the OJPS algorithm,the path search direction is restricted to the orthogonal direction,which improves the computational efficiency of local path optimization.In order to evaluate the performance of the model,this paper utilizes the metrics of the average risk value of the path,the flight time,and the number of turns.The experimental results demonstrate that the proposed improved ACO algorithm performs well in the average risk value of the paths traveled within the first 5 min,within the first 8 min,and within the first 10 min,with improvements of 48.33%,26.10%,and 6.746%,respectively,over the Particle Swarm Optimization(PSO)algorithm and 70.33%,19.08%,and 10.246%,respectively,over theArtificial Rabbits Optimization(ARO)algorithm.TheOJPS algorithmdemonstrates superior performance in terms of flight time and number of turns,exhibiting a reduction of 40%,40%and 57.1%in flight time compared to the other three algorithms,and a reduction of 11.1%,11.1%and 33.8%in the number of turns compared to the other three algorithms.These results highlight the effectiveness of the proposed method in improving the UAV’s ability to respond efficiently to urban environmental events,offering significant implications for the future of UAV path planning in complex urban settings.展开更多
基金sponsored by Natural Science Foundation of Xinjiang Uygur Autonomous Region(2024D01A19).
文摘Research on mass gathering events is critical for ensuring public security and maintaining social order.However,most of the existing works focus on crowd behavior analysis areas such as anomaly detection and crowd counting,and there is a relative lack of research on mass gathering behaviors.We believe real-time detection and monitoring of mass gathering behaviors are essential formigrating potential security risks and emergencies.Therefore,it is imperative to develop a method capable of accurately identifying and localizing mass gatherings before disasters occur,enabling prompt and effective responses.To address this problem,we propose an innovative Event-Driven Attention Network(EDAN),which achieves image-text matching in the scenario of mass gathering events with good results for the first time.Traditional image-text retrieval methods based on global alignment are difficult to capture the local details within complex scenes,limiting retrieval accuracy.While local alignment-based methods aremore effective at extracting detailed features,they frequently process raw textual features directly,which often contain ambiguities and redundant information that can diminish retrieval efficiency and degrade model performance.To overcome these challenges,EDAN introduces an Event-Driven AttentionModule that adaptively focuses attention on image regions or textual words relevant to the event type.By calculating the semantic distance between event labels and textual content,this module effectively significantly reduces computational complexity and enhances retrieval efficiency.To validate the effectiveness of EDAN,we construct a dedicated multimodal dataset tailored for the analysis of mass gathering events,providing a reliable foundation for subsequent studies.We conduct comparative experiments with other methods on our dataset,the experimental results demonstrate the effectiveness of EDAN.In the image-to-text retrieval task,EDAN achieved the best performance on the R@5 metric,while in the text-to-image retrieval task,it showed superior results on both R@10 and R@5 metrics.Additionally,EDAN excelled in the overall Rsummetric,achieving the best performance.Finally,ablation studies further verified the effectiveness of event-driven attention module.
基金supported by the National Natural Science Foundation of China(Grant Nos.61174021 and 61104155)the Fundamental Research Funds for theCentral Universities,China(Grant Nos.JUDCF13037 and JUSRP51322B)+1 种基金the Programme of Introducing Talents of Discipline to Universities,China(GrantNo.B12018)the Jiangsu Innovation Program for Graduates,China(Grant No.CXZZ13-0740)
文摘This paper aims to improve the performance of a class of distributed parameter systems for the optimal switching of actuators and controllers based on event-driven control. It is assumed that in the available multiple actuators, only one actuator can receive the control signal and be activated over an unfixed time interval, and the other actuators keep dormant. After incorporating a state observer into the event generator, the event-driven control loop and the minimum inter-event time are ultimately bounded. Based on the event-driven state feedback control, the time intervals of unfixed length can be obtained. The optimal switching policy is based on finite horizon linear quadratic optimal control at the beginning of each time subinterval. A simulation example demonstrate the effectiveness of the proposed policy.
文摘In this paper, the testing technology of event-driven software is focused. It is first analyzed the difference between event-driven software and the traditional procedure-oriented software, and based on the above analysis, the mechanism of event-driven and the effect of introduction of event-driven mechanism on software testing are unveiled. Then based on the characteristic of the event-driven software, the traditional software testing method is improved, and testing policy of event based test is presented in this paper.Moreover the event coverage criteria are defined and given here. At the same time the event executing rule are further uncovered, such as ordinal event, non-ordinal event, predecessor event and concurrent event etc., and also the methods of testing according to event executing rule are studied.
基金Supported by the National Natural Science Foundation of China(Nos.11375177 and 11375186)
文摘Hefei Light Source(HLS)-II is a vacuum ultraviole(VUV) synchrotron light source. A major upgrade of the light source was finished at the end of 2014. The timing system was rebuilt using compact peripheral component interconnect(cPCI) event-driven hardware to meet synchronization requirements of the machine. In the new system, the c PCI event-driven products manufactured by the micro-research finland(MRF) Oy are employed to achieve about 100 output signals with different interfaces. Device supports and drivers developed for common Experimental Physics and Industrial Control System(EPICS) records are used to access the registers on the timing modules. Five c PCI-bus input/output controllers(IOCs) distributed in different areas of the light source host timing modules for various subsystems. The delay resolution of this system is 9.8 ns for most channels and 9 ps for the channels used for triggering the electron gun and the injection kickers. The measured rms jitter of the output signal is less than 27 ps. Using the bucket chooser, this system enables the HLS-II to fill the storage ring with any designated bunch pattern. Benefitting from this upgrade, brightness and performance of the light source are significantly improved.
文摘Type 2 diabetes(T2D)is an insidious disease associated with neural and vascular complications,acceleration of cardiovascular disease,changes in heart function,and premature death.In the newly released article of the Journal of Sport and Health Science,Liang et al.1 describe results from the UK Biobank data showing the benefits of moderate-to-vigorous intensity physical activity(MVPA)on reducing the risks for vascular events in 11,474 adults with T2D and prediabetes.
文摘With the advances of electronic information technology and computer network, especially the embedded technology, smart home is no more just a vision but being practical. The interoperability of heterogeneous devices and flexibility of devices＇ usage are two key problems that challenge the implementation of smart home. To deal with these two issues, this paper proposes an event-driven service oriented architecture using device profile for web services （DPWS）. DPWS inherits the advantages of the traditional web services in achieving interoperability without dependence on platform, while improving service discovery and security as well as being optimized for deploying on resource constrained devices. By providing a visual interface for describing a service workflow （SW）, the user can easily customize the actions of devices by services composition. Devices automatically cooperate without user＇s intervention to complete required business logic. This is achieved by fully exploiting the eventing capabilities on DPWS enabled home devices. Finally, a home theater scenario is given to illustrate the event driven mechanism for the SW in the proposed smart home framework.
文摘Current orchestration and choreography process engines only serve with dedicate process languages.To solve these problems,an Event-driven Process Execution Model(EPEM) was developed.Formalization and mapping principles of the model were presented to guarantee the correctness and efficiency for process transformation.As a case study,the EPEM descriptions of Web Services Business Process Execution Language(WS-BPEL) were represented and a Process Virtual Machine(PVM)-OncePVM was implemented in compliance with the EPEM.
基金supported by the National Key R&D program of China(No.2022YFC3703404)the National Natural Science Foundation of China(No.22188102)the Samsung Advanced Institute of Technology.
文摘Although air pollutant emissions have sharply reduced in recent years,the occurrence of PM_(2.5) pollution events remains an intractable environmental problem in Beijing,and regional transport is the key influence factor.However,it has been difficult to identify regional transport characteristics and the main contributors to pollution events in recent years.In this study,the relative contribution of regional transport was quantified(61.3%)in PM_(2.5) pollution events during 2018-2021 by the Community Multiscale Air Quality model embedded with the Integrated Source Apportionment Model(CMAQ-ISAM).The four regions with the largest fractional contributions to Beijing for all events were Shandong(7.7%),South Hebei(7.3%),Baoding(6.2%),and Langfang(5.8%).Pollution events were classified into the following types based on regional transport directions:local,southwest(SW),southeast(SE),south-mixed(SM),and others.Based on the transport distance,the SW,SE,and SM types can be subdivided into SW-short,SW-long,SE-short,SE-long,SM-short,SM-long distance from southwest,SM-long distance from southeast,and SM-long distance from southwest and southeast.SE-long was regarded as the most important type,with the highest relative frequency(20%).The transport directions were related to the southwest wind at 925 hPa and southeast wind at 1000 hPa in the south of the Beijing–Tianjin–Hebei(BTH)region,and the distance was mainly controlled by wind strength.The wind-field difference can be attributed to the low-pressure and high-pressure systems that control the BTH region.The results suggest that regional joint pollution control should be optimized based on the transport type.
基金Supported by Joint Funds for the Innovation of Science and Technology,Fujian Province,No.2023Y9187 and No.2021Y9057.
文摘BACKGROUND Minimally invasive esophagectomy(MIE)is a widely accepted treatment for esophageal cancer,yet it is associated with a significant risk of surgical adverse events(SAEs),which can compromise patient recovery and long-term survival.Accurate preoperative identification of high-risk patients is critical for improving outcomes.AIM To establish and validate a risk prediction and stratification model for the risk of SAEs in patients with MIE.METHODS This retrospective study included 747 patients who underwent MIE at two centers from January 2019 to February 2024.Patients were separated into a train set(n=549)and a validation set(n=198).After screening by least absolute shrinkage and selection operator regression,multivariate logistic regression analyzed clinical and intraoperative variables to identify independent risk factors for SAEs.A risk stratification model was constructed and validated to predict the probability of SAEs.RESULTS SAEs occurred in 10.2%of patients in train set and 13.6%in the validation set.Patients with SAE had significantly higher complication rate and a longer hospital stay after surgery.The key independent risk factors identified included chronic obstructive pulmonary disease,a history of alcohol consumption,low forced expiratory volume in the first second,and low albumin levels.The stratification model has excellent prediction accuracy,with an area under the curve of 0.889 for the training set and an area under the curve of 0.793 for the validation set.CONCLUSION The developed risk stratification model effectively predicts the risk of SAEs in patients undergoing MIE,facilitating targeted preoperative interventions and improving perioperative management.
文摘This study examines the “V + Dào” construction as a state change event through the lens of the Event Integration Hypothesis. It focuses on how these constructions represent state changes, exploring distinctions between “change” and “stasis”. Using a corpus-based approach, the analysis covers the semantic and syntactic features of “V + Dào” constructions and their event integration patterns. The findings highlight the distribution of agency, animacy, and support relations in state change events, emphasizing the complex interaction of internal and external event integrations and their correlation with the conceptual primitives of change and transition. This study offers insights into the lexicalization and grammaticalization processes of the “V + Dào” construction, and potentially the broader verb-complement constructions in Mandarin.
文摘The World Wide Web provides a wealth of information about everything, including contemporary audio and visual art events, which are discussed on media outlets, blogs, and specialized websites alike. This information may become a robust source of real-world data, which may form the basis of an objective data-driven analysis. In this study, a methodology for collecting information about audio and visual art events in an automated manner from a large array of websites is presented in detail. This process uses cutting edge Semantic Web, Web Search and Generative AI technologies to convert website documents into a collection of structured data. The value of the methodology is demonstrated by creating a large dataset concerning audiovisual events in Greece. The collected information includes event characteristics, estimated metrics based on their text descriptions, outreach metrics based on the media that reported them, and a multi-layered classification of these events based on their type, subjects and methods used. This dataset is openly provided to the general and academic public through a Web application. Moreover, each event’s outreach is evaluated using these quantitative metrics, the results are analyzed with an emphasis on classification popularity and useful conclusions are drawn concerning the importance of artistic subjects, methods, and media.
基金supported by the Zhejiang Provincial Key R&D Program(Nos.2024C01108,2023C01030,2023C01034)the Hangzhou Key R&D Program(Nos.2023SZD0046,2024SZD1A03)the Ningbo Key R&D Program(No.2024Z114).
文摘1 Introduction Sound event detection(SED)aims to identify and locate specific sound event categories and their corresponding timestamps within continuous audio streams.To overcome the limitations posed by the scarcity of strongly labeled training data,researchers have increasingly turned to semi-supervised learning(SSL)[1],which leverages unlabeled data to augment training and improve detection performance.Among many SSL methods[2-4].
基金supported by the National Natural Science Foundation of China (Grant Nos.42005029 and 41701103)the China Meteorological Administration Special Foundation for Innovation and Development (Grant No.CXFZ2024Q007)。
文摘In the summer of 2024, following a strong El Ni?o event in the preceding winter, the tropical Indian Ocean and tropical North Atlantic recorded their highest SSTs since 1961, along with a significant westward shift and intensification of the western Pacific subtropical high(WPSH). Under these conditions, China experienced its hottest summer since 1961,and was hit by a series of high-impact extreme weather and climate events. From 9 June to 2 July, southern China experienced an unprecedented extreme precipitation event that exceeded the well-known 1998 summer precipitation event in both duration and impact scope, resulting in devastating floods in the Yangtze River basin. Subsequently, in early to midJuly, the Huanghe-Huaihe Basin suffered from a severe drought–flood abrupt alternation event, heavily affecting Henan and Shandong. Meanwhile, southern China underwent a widespread heatwave event lasting 74 days, ranking as the second most intense since 1961. From late July to the end of August, northern China faced unusually frequent heavy precipitation events, with cumulative precipitation reaching the second highest for the same period since 1961, causing floods in many rivers of northern China. This study provides a timely summary and assessment of the characteristics and impacts of these extreme events. It serves as a reference for climate change research, including mechanism analysis, numerical simulation,and climate event attribution, and also offers valuable insights for improving meteorological disaster prevention and mitigation strategies.
文摘Objective:Despite established associations between certain medications and urticaria,the risk profiles of most pharmaceutical agents remain poorly characterized.This investigation aimed to identify risk factors for medication-induced urticaria through comprehensive analysis of the FDA Adverse Event Reporting System(FAERS)database.Methods:We employed reporting odds ratios(ROR)to evaluate drug-urticaria associations using FAERS data spanning from Q12004 to Q32024.Analytical approaches included univariate screening,LASSO regression,and multivariate logistic regression to identify potential risk factors.Multiple comparison adjustments were implemented using the Bonferroni method.Results:The study identified 1807 pharmaceutical agents potentially associated with urticaria development.Univariate analysis categorized these agents into several therapeutic classes:antimicrobials(19/85),biologics(16/85),analgesics(8/85),dermatologicals(3/85),anti-rheumatic agents(4/85),hormonal preparations(3/85),antihypertensives(2/85),neuropsychiatric medications(2/85),uric acid-lowering drugs(2/85),multiple sclerosis therapies(2/85),and miscellaneous agents(17/85).Multivariate analysis identified three significant risk determinants:middle-aged individuals(36-53 years),female gender,and exposure to any of 82 specific medications.Conclusion:These evidence-based findings provide valuable insights for early clinical recognition of drug-induced urticaria and establish a foundation for subsequent mechanistic investigations into medication-related hypersensitivity reactions.
基金partially supported by the Science Technology Development Fund,Macao Special Administrative Region(0029/2023/RIA1)the National Research Foundation Singapore under its AI Singapore Programme(AISG2-GC-2023-007)
文摘With the development of cyber-physical systems,system security faces more risks from cyber-attacks.In this work,we study the problem that an external attacker implements covert sensor and actuator attacks with resource constraints(the total resource consumption of the attacks is not greater than a given initial resource of the attacker)to mislead a discrete event system under supervisory control to reach unsafe states.We consider that the attacker can implement two types of attacks:One by modifying the sensor readings observed by a supervisor and the other by enabling the actuator commands disabled by the supervisor.Each attack has its corresponding resource consumption and remains covert.To solve this problem,we first introduce a notion of combined-attackability to determine whether a closedloop system may reach an unsafe state after receiving attacks with resource constraints.We develop an algorithm to construct a corrupted supervisor under attacks,provide a verification method for combined-attackability in polynomial time based on a plant,a corrupted supervisor,and an attacker's initial resource,and propose a corresponding attack synthesis algorithm.The effectiveness of the proposed method is illustrated by an example.
文摘BACKGROUND Patients with type 2 diabetes mellitus(T2DM)face a heightened risk of future cardiovascular events.It is therefore important to stratify these patients according to their future cardiovascular event risk to allow early intervention and improve prognosis.Recent proposals have indicated that nontraditional lipoprotein ratios may be superior predictors of cardiovascular events compared to traditional lipid parameters.However,further evidence is required for widespread clinical ap-plication.AIM To elucidate the associations of nontraditional lipoprotein ratios with future cardiovascular events in patients with T2DM.METHODS This study performed post-hoc analysis of data obtained during a clinical trial involving 10182 participants.To ascertain the correlations between nontraditional lipoprotein ratios and future cardiovascular events,including major adverse cardiovascular events(MACEs)and congestive heart failure(CHF).We employed univariable and multivariable-adjusted Cox proportional hazards regression models.Potential dose-response relationships and threshold values were explored by conducting restricted cubic spline analyses and two-piecewise linear regression models.Possible relevant interactions influencing independent relationships were tested using subgroup and interaction analyses.RESULTS After adjustment for confounding factors,all nontraditional lipoprotein ratios studied were strongly associated with MACE risk in patients with T2DM.In comparison with patients in the lowest quartile,the hazard ratios(95%confidence intervals)of those in the highest quartile were 1.50(1.29-1.73),1.51(1.30-1.74),1.50(1.29-1.73),and 1.30(1.12-1.50)for total cholesterol/high-density lipoprotein cholesterol(HDL-C),low-density lipoprotein cholesterol/HDL-C,non-HDL-C/HDL-C,and remnant cholesterol/HDL-C,respectively.Similar findings were noted for CHF.Dose-response relationships between nontraditional lipoprotein ratios and MACE were observed,with threshold values of 7.29,6.29,and 2.15 for total cholesterol/HDL-C,non-HDL-C/HDL-C,and remnant cholesterol/HDL-C,respectively.However,no notable dose-response relationships were detected between nontraditional lipoprotein ratios and CHF.CONCLUSION Elevated nontraditional lipoprotein ratios may independently predict the risk of MACE and CHF in patients with T2DM.
基金Research Project of Yunnan Provincial Psychiatric Hospital(SJKY-2023-10).
文摘Objective:To investigate the differences in childhood trauma and life events between adolescents with depression and healthy controls,and to analyze the correlations between these factors and depressive symptoms.As such,we aim to provide theoretical foundations for early identification and intervention.Methods:This cross-sectional study enrolled 90 hospitalized adolescents with depression(case group)and 91 healthy adolescents(control group).Childhood Trauma Questionnaire(CTQ),Adolescent Self-Rating Life Events Checklist(ASLEC),and Children’s Depression Inventory(CDI)were administered to assess trauma history,life event stressors,and depressive symptoms.Statistical analyses included independent samples t-tests,chi-square tests,and Pearson correlation analysis.Results:The case group demonstrated a significantly higher proportion of only-child families(28.9%).ASLEC and CDI scores were significantly elevated in the case group compared to the control group(P<0.05).In comparison,CTQ scores were lower in the case group(P=0.025).Positive correlations were identified between CDI scores and both CTQ(r=0.261)and ASLEC(r=0.218)in the case group.Conclusion:Child-hood trauma and recent life event stressors demonstrate significant associations with adolescent depressive symp-toms,potentially mediated through emotional dysregulation and negative cognitive bias.Implementation of early trauma screening protocols combined with stress management interventions(e.g.,cognitive behavioral therapy)and family system optimization strategies may effectively mitigate depression risk in this population.
基金supported by the Special Project forKey Fields of Ordinary Universities in Guangdong Province(Number:2023ZDZX1076).
文摘Efficient flight path design for unmanned aerial vehicles(UAVs)in urban environmental event monitoring remains a critical challenge,particularly in prioritizing high-risk zones within complex urban landscapes.Current UAV path planning methodologies often inadequately account for environmental risk factors and exhibit limitations in balancing global and local optimization efficiency.To address these gaps,this study proposes a hybrid path planning framework integrating an improved Ant Colony Optimization(ACO)algorithm with an Orthogonal Jump Point Search(OJPS)algorithm.Firstly,a two-dimensional grid model is constructed to simulate urban environments,with key monitoring nodes selected based on grid-specific environmental risk values.Subsequently,the improved ACO algorithm is used for global path planning,and the OJPS algorithm is integrated to optimize the local path.The improved ACO algorithm introduces the risk value of environmental events,which is used to direct the UAV to the area with higher risk.In the OJPS algorithm,the path search direction is restricted to the orthogonal direction,which improves the computational efficiency of local path optimization.In order to evaluate the performance of the model,this paper utilizes the metrics of the average risk value of the path,the flight time,and the number of turns.The experimental results demonstrate that the proposed improved ACO algorithm performs well in the average risk value of the paths traveled within the first 5 min,within the first 8 min,and within the first 10 min,with improvements of 48.33%,26.10%,and 6.746%,respectively,over the Particle Swarm Optimization(PSO)algorithm and 70.33%,19.08%,and 10.246%,respectively,over theArtificial Rabbits Optimization(ARO)algorithm.TheOJPS algorithmdemonstrates superior performance in terms of flight time and number of turns,exhibiting a reduction of 40%,40%and 57.1%in flight time compared to the other three algorithms,and a reduction of 11.1%,11.1%and 33.8%in the number of turns compared to the other three algorithms.These results highlight the effectiveness of the proposed method in improving the UAV’s ability to respond efficiently to urban environmental events,offering significant implications for the future of UAV path planning in complex urban settings.
